Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.

NVIDIA CUDA Tile introduces 'tile-based parallel programming' and it's being described as a major update to the CUDA platform, which powers a lot of AI.

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

Video: How do you add efficiency in AI models? First, look where people are looking. What you get, starting out in this video, is that algorithms impact our lives in, as CSAIL grad student Sandeep ...

The developer says users can program algorithms faster than with C, C++, or Fortran. Tools include an editor for editing and debugging, and a profiler, which records the time spent executing each line ...

For brands seeking to capitalize on the power of artificial intelligence (AI), it’s the best of times to use algorithms. It’s also the worst of times. The best: the most effective and popular AI ...